Eco-informatics modelling via semantic inference
Myers, Trina, and Atkinson, Ian (2013) Eco-informatics modelling via semantic inference. Information Systems, 38 (1). pp. 16-32.
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There is a demand for new and evolved research practices resulting from the so called "data deluge" emerging from high volume digital collection methods. As the volume of raw data increases traditional data processing methodologies, especially those involving manual manipulation are becoming increasingly difficult to manage. This paper presents the "Semantic Reef" architecture that offers an alternative approach to the development, application and execution of observational hypotheses involving studies of coral reef ecosystems. The Semantic Reef Knowledge Representation system is an eco-informatics application designed to assist in the integration of remotely sensed data streams and historic data sets supporting flexible hypothesis design and knowledge extraction. The system is an ontology-based architecture built to allow researchers to combine disjoint data sets into a single Knowledge Base for modelling the impact of climate change on coral reef ecosystems. The Knowledge Base consists of a hierarchy of ontologies developed to maximise usability and reusability by separating data instances from the concept descriptions. The model can be effectively reused to extract or disclose phenomena of any coral reef. This paper both demonstrates and describes a performance analysis of the Semantic Reef knowledge system.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||Semantic Web, ontology engineering, scientific workflows, knowledge systems|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 100%|
|SEO Codes:||96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960506 Ecosystem Assessment and Management of Fresh, Ground and Surface Water Environments @ 100%|
|Deposited On:||28 Jun 2012 08:15|
|Last Modified:||20 May 2013 01:49|
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